PUBLICATIONS and PRESENTATIONS
Comparing Optimization Methods for Wargame AI Strategies. In: The 10th International Conference on Computer Games: AI, Animation, Mobile, Educational and Serious Games (CGAMES 2007). The 10th International Conference on Computer Games: AI, Animation, Mobile, Educational and Serious Games (CGAMES 2007). Louisville, KY; 2007.
. Efficient Parallel Computation of Inverse Document Frequency Features for Text Mining. In: The 2007 International Conference on Data Mining (DMIN 07). The 2007 International Conference on Data Mining (DMIN 07). Las Vegas, NV; 2007.
. Object Oriented Artificial Intelligence for Wargames. In: The 15th International Conference on Computer Games: AI, Animation, Mobile, Educational and Serious Games (CGAMES 2010). The 15th International Conference on Computer Games: AI, Animation, Mobile, Educational and Serious Games (CGAMES 2010). Louisville, KY; 2010.
. ADaM: A Data Mining Toolkit for Scientists and Engineers. Computers & Geosciences. 2005 ;31:607-618.
. The Observe-Orient-Decide-Act (OODA) Model For Strategic Game AI. In: The 6th International Conference on Computer Games: AI and Mobile Systems (CGAIMS 2005). The 6th International Conference on Computer Games: AI and Mobile Systems (CGAIMS 2005). Louisville, KY; 2005.
. A Coverage Based Ensemble Algorithm (CBEA) for Streaming Data. 16th IEEE Intl. Conference on Tools with Artificial Intelligence. 2004 .
. Augmenting Wargame AI with Data Mining Technology. AAAI Challenges in Game Artificial Intelligence Workshop. 2004 .
. Use of Genetic Algorithms to Refine Military Tactics and Game the System. In: EUROSIS GAMEON-NA 2007. EUROSIS GAMEON-NA 2007. Gainesville, FL; 2007.
. A pragmatic understanding of 'knowing that' and 'knowing how': The pivotal role of conceptual structures . Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream. 1997 :25 - 40.
. Processing Direct Broadcast Data to Reduce Latency of Aqua AMSR-E Products. 2011 Fall Meeting AGU. 2011 .
. AMSR-E SIPS Processing Status. In: AMSR-E Science Team Meeting. AMSR-E Science Team Meeting. Huntsville, AL; 2010.
. AMSR-E SIPS Instrument Anomaly Observations. Beltsville, MD: GSFC; 2012.
. Flexible Processing at the AMSR-E SIPS. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS '05). IEEE International Geoscience and Remote Sensing Symposium (IGARSS '05). Seoul, Korea; 2005.
. Processing Direct Broadcast Data to Reduce Latency of Aqua AMSR-E Products. In: AGU. AGU. San Francisco, CA; 2011.
. Product Delivery Record Server Data Transfer at the AMSR-E SIPS. IEEE International Geoscience & Remote Sensing Symposium (IGARSS '06). 2006 ;1:245-248.
. Introducing LANCE, NASA’s Near-real-time Processing Capability for Aqua AMSR-E. In: American Geophysical Union. American Geophysical Union. San Francisco, CA; 2010.
. Introducing NASA's Near-real-time Processing Capability for Aqua AMSR-E . [Internet]. 2010 . Available from: http://www.itsc.uah.edu/main/sites/default/files/lance_poster.jpg
. LANCE Processing at the AMSR-E SIPS. In: AMSR-E Science Team Meeting. AMSR-E Science Team Meeting. Huntsville, AL; 2010.
. . . National Middleware Inititative. Alabama Middleware Conference. 2002 .
. Discovering and Accessing Data from the Federation of Earth Science Information Partners. Eos, Transactions, AGU. 2002 ;Vol. 83.
. Coupling Data Mining with Cellular Automata to Model Dynamic Phenomena. Huntsville Simulation Conference. 2003 .
. PEA: Phenomena Extraction Algorithm. In: 22nd International Conference on Interactive Information Processing Systems (IIPS), 86th American Meteorological Society Annual Meeting. 22nd International Conference on Interactive Information Processing Systems (IIPS), 86th American Meteorological Society Annual Meeting. Atlanta, GA; 2006.
. Earth Science Markup Language: An Overview. Eos, Transactions, AGU. 2002 ;83.
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